Summary of Data Advisor: Dynamic Data Curation For Safety Alignment Of Large Language Models, by Fei Wang et al.
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Modelsby Fei Wang, Ninareh…
Summary of Mars: a Neurosymbolic Approach For Interpretable Drug Discovery, by Lauren Nicole Delong et al.
MARS: A neurosymbolic approach for interpretable drug discoveryby Lauren Nicole DeLong, Yojana Gadiya, Paola Galdi,…
Summary of How Do Large Language Models Understand Graph Patterns? a Benchmark For Graph Pattern Comprehension, by Xinnan Dai et al.
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehensionby Xinnan…
Summary of Collaboration! Towards Robust Neural Methods For Routing Problems, by Jianan Zhou et al.
Collaboration! Towards Robust Neural Methods for Routing Problemsby Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen…
Summary of T-jepa: Augmentation-free Self-supervised Learning For Tabular Data, by Hugo Thimonier et al.
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Databy Hugo Thimonier, José Lucas De Melo Costa, Fabrice…
Summary of Dept: Decoupled Embeddings For Pre-training Language Models, by Alex Iacob et al.
DEPT: Decoupled Embeddings for Pre-training Language Modelsby Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F.…
Summary of Active Fine-tuning Of Generalist Policies, by Marco Bagatella et al.
Active Fine-Tuning of Generalist Policiesby Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas KrauseFirst submitted to…
Summary of Select: a Large-scale Benchmark Of Data Curation Strategies For Image Classification, by Benjamin Feuer et al.
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classificationby Benjamin Feuer, Jiawei Xu,…
Summary of Systematic Literature Review Of Vision-based Approaches to Outdoor Livestock Monitoring with Lessons From Wildlife Studies, by Stacey D. Scott et al.
Systematic Literature Review of Vision-Based Approaches to Outdoor Livestock Monitoring with Lessons from Wildlife Studiesby…
Summary of Fresh: Frequency Shifting For Accelerated Neural Representation Learning, by Adam Kania et al.
FreSh: Frequency Shifting for Accelerated Neural Representation Learningby Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek…